A Probabilistic Framework for Distributed Localization of Attackers in MANETs

  • Alessandra De Benedictis
  • Behzad Koosha
  • Massimiliano Albanese
  • Valentina Casola
Conference paper

DOI: 10.1007/978-3-642-41098-7_4

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8203)
Cite this paper as:
De Benedictis A., Koosha B., Albanese M., Casola V. (2013) A Probabilistic Framework for Distributed Localization of Attackers in MANETs. In: Accorsi R., Ranise S. (eds) Security and Trust Management. STM 2013. Lecture Notes in Computer Science, vol 8203. Springer, Berlin, Heidelberg

Abstract

Mobile Ad-hoc Networks (MANETs) are frequently exposed to a wide range of cyber threats due to their unique characteristics. The lack of a centralized monitoring and management infrastructure and the dynamic nature of their topology pose new and interesting challenges for the design of effective security mechanisms. While conventional methods primarily focus on detecting attacks, in this work we focus on estimating the attackers’ physical location in the network, and propose a probabilistic framework for aggregating information gathered from nodes reporting malicious activity in their vicinity. In order to overcome the limitations of the decentralized nature of MANETs, we present a distributed approach to attacker localization based on dynamically partitioning the network into clusters. These self-organizing clusters can (i) independently find the approximate location of the attackers in real time, and (ii) deploy trusted resources to capture attackers. We show, through experiments in a simulated environment, that our approach is effective and efficient.

Keywords

Attacker Localization Mobile Ad-hoc Networks Distributed Computing Clustering 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Alessandra De Benedictis
    • 2
  • Behzad Koosha
    • 1
  • Massimiliano Albanese
    • 1
  • Valentina Casola
    • 2
  1. 1.Center for Secure Information SystemsGeorge Mason UniversityFairfaxUSA
  2. 2.Department of Electrical Engineering and Information TechnologyUniversity of Naples “Federico II”NaplesItaly

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